CN114758767A - Method and device for remotely monitoring body health state in real time and giving regulation and control guidance - Google Patents
Method and device for remotely monitoring body health state in real time and giving regulation and control guidance Download PDFInfo
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Abstract
The invention belongs to the technical field of big data, and discloses a method and a device for remotely monitoring the health state of a human body in real time and giving regulation and control guidance. The method comprises the following steps: inputting user sign information into a preset user state prediction model, and determining user state type information; determining user state early warning information according to the user state type information; and sending the user state early warning information to the monitoring terminal so that the monitoring terminal can prompt the user state according to the state early warning information. By the aid of the method, various physiological indexes are dynamically acquired and uploaded to a cloud analysis platform, an optimal health guidance regulation and control scheme is given according to personalized health state analysis of the old or the patient, and a guardian can conveniently, quickly and timely master health dynamics of the user in real time only in an APP or WeChat of the guardian. Health risk factors are found in advance, the reaction speed of abnormal vital signs is improved, and when the abnormal vital signs are different from normal people, the abnormal vital signs are found in advance, so that more serious consequences are avoided.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a method and a device for remotely monitoring the health state of a human body in real time and giving regulation and control guidance.
Background
China is aging, the phenomenon of home-based care for the aged becomes a normal state of society, vital signs and states of the aged cannot be controlled in real time, monitoring and alarming devices on the market almost send alarming information after problems occur, and meanwhile, after a patient leaves a hospital, the state cannot be interacted with medical care personnel in time. Therefore, how to monitor the state condition of the target to be monitored in real time and evaluate and predict the state risk when no state problem occurs becomes an urgent problem to be solved.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a device for remotely monitoring the health state of a body in real time and giving regulation and control guidance, and aims to solve the technical problem that the prior art cannot predict the health state risk of a target to be monitored.
In order to achieve the above objects, the present invention provides a method for remotely monitoring a health state of a body in real time and giving a regulation guidance, the method comprising the steps of:
Receiving user sign information detected by an intelligent terminal;
inputting the user sign information into a preset user state prediction model, and determining user state type information;
when a preset state type exists in the user state type information, determining user state early warning information according to the user state type information;
and sending the user state early warning information to a monitoring terminal so that the monitoring terminal prompts the user state according to the state early warning information.
Optionally, before inputting the user sign information into a preset user state prediction model and determining user state type information, the method further includes:
acquiring sign sample data, wherein the sign sample data comprises at least one of a blood pressure sample, a blood sugar sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample and a heart rate sample;
and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
Optionally, the training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model includes:
training an initial user state prediction model according to the sign sample data to obtain a user state prediction model to be adjusted;
Acquiring personal information of a user;
determining an adjustment parameter according to the user personal information and a preset standard template;
and adjusting the user state prediction model to be adjusted according to the adjustment parameters to obtain a preset user state prediction model.
Optionally, the determining the user state early warning information according to the user state type information includes:
determining a user state type and a state index corresponding to the user state type according to the user state type information;
determining early warning content according to the user state type;
determining an early warning mode according to the state index;
and determining user state early warning information according to the early warning content and the early warning mode.
Optionally, before sending the user state early warning information to the monitoring terminal, the method further includes:
establishing network connection with the mobile terminal and configuring a notification mode;
the sending the user state early warning information to a monitoring terminal comprises:
when the state index meets a preset condition, determining the state grade of the state index;
and when the state grade reaches a target grade, sending the user state early warning information to a monitoring terminal through a network and the notification mode.
Optionally, after the sending the user state early warning information to the monitoring terminal, the method further includes:
when the user state early warning information is sent to the monitoring terminal and no feedback information is received within a preset time, generating emergency early warning information;
and sending the emergency early warning information to a preset monitoring center to finish the early warning of the emergency.
Optionally, the sending the user state early warning information to a monitoring terminal, so that after the monitoring terminal performs user state prompting according to the state early warning information, the method further includes:
acquiring authority application information fed back by a monitoring terminal;
and opening corresponding function permission according to the permission application information so that the monitoring terminal acquires function information according to the function permission.
In addition, in order to achieve the above object, the present invention further provides a device for remotely monitoring a health status in real time and giving a regulation and control guidance, the device for remotely monitoring a health status in real time and giving a regulation and control guidance comprising:
the communication module is used for receiving the user sign information detected by the intelligent terminal;
the processing module is used for inputting the user sign information into a preset user state prediction model and determining user state type information;
The processing module is further configured to determine user state early warning information according to the user state type information when a preset state type exists in the user state type information;
the communication module is further used for sending the user state early warning information to a monitoring terminal so that the monitoring terminal can prompt the user state according to the state early warning information.
Optionally, the processing module is further configured to obtain sign sample data, where the sign sample data includes at least one of a blood pressure sample, a blood glucose sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample, and a heart rate sample;
and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
Optionally, the processing module is further configured to train an initial user state prediction model according to the sign sample data to obtain a user state prediction model to be adjusted;
acquiring personal information of a user;
and adjusting the user state prediction model to be adjusted according to the user personal information to obtain a preset user state prediction model.
The invention receives user sign information detected by an intelligent terminal; inputting the user sign information into a preset user state prediction model, and determining user state type information; when a preset state type exists in the user state type information, determining user state early warning information according to the user state type information; and sending the user state early warning information to a monitoring terminal so that the monitoring terminal can prompt the user state according to the state early warning information. By the mode, dynamic collection of various physiological indexes is achieved and uploaded to a cloud analysis platform, an optimal health guidance regulation and control scheme is provided according to personalized health state analysis of the old or the patient, and a guardian can conveniently, quickly and real-timely master health dynamics of the user only in an APP or a WeChat of the guardian. Health risk factors are found in advance, the reaction speed of abnormal vital signs is improved, and when the abnormal vital signs are different from normal people, the abnormal vital signs are found in advance, so that more serious consequences are avoided.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a method for remotely monitoring a physical health status in real time and giving regulation guidance according to the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of the method for remotely monitoring the health status of a person in real time and giving regulation guidance according to the present invention;
fig. 3 is a block diagram of a first embodiment of the apparatus for remotely monitoring the health status in real time and giving regulation guidance according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
An embodiment of the present invention provides a method for remotely monitoring a health state in real time and giving a regulation and control instruction, and referring to fig. 1, fig. 1 is a schematic flow diagram of a first embodiment of the method for remotely monitoring a health state in real time and giving a regulation and control instruction according to the present invention.
In this embodiment, the method for remotely monitoring the health state in real time and giving the regulation and control guidance includes the following steps:
step S10: and receiving user sign information detected by the intelligent terminal.
It should be noted that the execution subject of this embodiment is a cloud analysis platform, and the cloud analysis platform may be a cloud server, and may also be other devices having the same or similar functions as the cloud server, which is not limited in this embodiment.
It can be understood that, in the process of monitoring the physical condition of the user, the embodiment actively acquires various physiological indexes and uploads the physiological indexes to the cloud analysis platform, the cloud analysis platform analyzes the personalized health state of the user, and then gives an optimal health guidance regulation and control scheme according to the personalized health state of the user, wherein the regulation and control scheme includes but is not limited to advising to seek medical advice, regulating diet, enhancing movement, controlling sleep, managing and controlling emotion and the like.
The intelligent terminal includes an intelligent device having a detection function, for example: intelligence wrist-watch, intelligent waistband, intelligent mattress, shoe-pad, intelligent pillow etc. through all kinds of intelligent sensor, for example: carry the intelligent wrist-watch of light electric blood sample, blood glucose sensor, carry temperature sensor's intelligent waistband etc. and detect sign data such as user's blood pressure, blood glucose, respiratory rate, body temperature, blood oxygen and heart rate, carry out data processing with user's sign information transmission to cloud analysis platform.
Step S20: and inputting the user sign information into a preset user state prediction model, and determining user state type information.
It should be noted that the preset user state prediction model is a model trained in advance for predicting the body state of the user, after the sign information is input into the model, the model can determine the user sign information of the current user according to the normal sign standard to judge whether each parameter of the body of the user is in a normal range, and if the parameter exceeds the normal range, which abnormal state the user belongs to can be determined according to the degree exceeding the normal range and the sign type. For example: in the process of analyzing the various physical sign data, whether the physical condition of the user is normal can be judged according to the various physical sign data, and whether the internal organs are normal can be further presumed in abnormal situations.
It is understood that the user status type information includes the status that the user may be in, and the status corresponds to the parameters of the physiological indicators. Which may include: the index data of the user, whether the body is abnormal or not, and the state information of each internal organ, for example: the user state type information includes the state that the user is in a high blood pressure state and the current blood pressure value of the user.
In this embodiment, a user state type and a state index corresponding to the user state type are determined according to the user state type information; determining early warning content according to the user state type; determining an early warning mode according to the state index; and determining user state early warning information according to the early warning content and the early warning mode.
In the embodiment, network connection with the mobile terminal and a configuration notification mode are established; the sending of the user state early warning information to a monitoring terminal comprises: when the state index meets a preset condition, determining the state grade of the state index; and when the state grade reaches a target grade, sending the user state early warning information to a monitoring terminal through a network and the notification mode.
It should be noted that, the network connection with the mobile terminal is established and the notification manner is configured, that is, notification is performed in multiple manners, so as to prevent an abnormality from occurring suddenly in a certain function, for example: can APP, SMS, the tertiary early warning of phone inform oneself, guardian or medical personnel to accurate locking user position prevents that life threatening risk from taking place.
Step S30: and when a preset state type exists in the user state type information, determining user state early warning information according to the user state type information.
It is understood that the preset state type is a set of state types that are recognized as abnormal states in advance, for example: high blood pressure, high blood sugar, too fast respiratory rate for a long time, or high average body temperature.
It should be noted that the reason for determining the user state early warning information according to the user state type information is that the emergency degrees of different abnormal states are different, and therefore early warning modes corresponding to different timeliness are required, for example: timeliness of APP < timeliness of short message < timeliness of phone. When the user status of the user is of a more urgent type, a telephone with a more time-efficient warning message should be used to notify the monitoring terminal, if only a slight abnormal condition occurs, for example: when the blood pressure is higher than the preset blood pressure value, the reminding is carried out through the APP.
Step S40: and sending the user state early warning information to a monitoring terminal so that the monitoring terminal prompts the user state according to the state early warning information.
It should be noted that, the monitoring terminal is generally selected as a monitoring device for monitoring a user, for example: the system comprises a mobile intelligent terminal such as a guardian mobile phone, an intelligent watch and an intelligent tablet. After the monitoring terminal receives the state early warning information, the monitoring terminal prompts a guardian according to the state early warning information about what kind of abnormality occurs in the current state of the user, how the emergency degree is, what actions should be taken, for example: increase exercise amount, pay attention to medication, suggest to go to hospital for examination, etc.
In this embodiment, when the user state early warning information is sent to the monitoring terminal and no feedback information is received within a preset time, emergency early warning information is generated; and sending the emergency early warning information to a preset monitoring center to finish the emergency early warning.
It can be understood that after the monitoring terminal receives the early warning information, the monitoring personnel can wait for checking the early warning information, and after the user checks the early warning information, the user can feed back the user read or received the early warning information, and when the user does not feed back the information for a long time, it indicates that the user of the monitoring terminal does not check the user state early warning information of the monitored user. At this time, the information may be transmitted to a preset monitoring center of a third party to dispatch a specially-assigned person for service or consultation.
In the implementation, authority application information fed back by a monitoring terminal is obtained; and opening corresponding function permission according to the permission application information so that the monitoring terminal acquires function information according to the function permission.
It should be noted that after the user of the monitoring terminal confirms the user state early warning information, the user state needs to be further confirmed, that is, an independent communication channel is established according to a request of the monitoring terminal to establish a connection with the cloud analysis platform, the cloud analysis platform can share the authority acquired by the intelligent terminal of the detected user with the monitoring terminal, that is, the detection data received by the cloud analysis platform is selectively sent to the monitoring terminal, and in an emergency, the monitoring terminal user can acquire the positioning information of the monitored user through the authority sharing, so as to confirm the current position movement of the user to check or inform medical staff of going. Even the privacy contact information of the user is obtained, and the user is directly contacted.
The embodiment receives user sign information detected by an intelligent terminal; inputting the user sign information into a preset user state prediction model, and determining user state type information; when a preset state type exists in the user state type information, determining user state early warning information according to the user state type information; and sending the user state early warning information to a monitoring terminal so that the monitoring terminal can prompt the user state according to the state early warning information. By the mode, dynamic collection of various physiological indexes is achieved and uploaded to a cloud analysis platform, an optimal health guidance regulation and control scheme is provided according to personalized health state analysis of the old or the patient, and a guardian can conveniently, quickly and real-timely master health dynamics of the user only in an APP or a WeChat of the guardian. Health risk factors are found in advance, the reaction speed of abnormal vital signs is improved, and when the abnormal vital signs are different from normal people, the abnormal vital signs are found in advance, so that more serious consequences are avoided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a second embodiment of the method for remotely monitoring the health status of a human body in real time and giving regulation guidance according to the present invention.
Based on the first embodiment, the method for remotely monitoring the health status in real time and giving the regulation guidance in this embodiment further includes, before the step S20:
step S21: obtaining physical sign sample data, wherein the physical sign sample data comprises at least one of a blood pressure sample, a blood sugar sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample and a heart rate sample.
It should be noted that the physical sign sample data is derived from a cloud physical sign sample library, a large amount of physical sign sample data is stored in the sample library, the physical sign sample data includes at least one of a blood pressure sample, a blood sugar sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample, and a heart rate sample, and is generally a plurality of physical sign sample parameters, and the sample parameters all have unified personal information, for example: sampling is carried out on sign sample data of 18-80-year-old men or non-pregnant women. Wherein, the sample data comprises specific parameters and corresponding labels, for example: the label corresponding to the sign data of the normal person is normal, the label corresponding to the sample data of the hypertension is suspected hypertension, the label corresponding to the sample data of the asthma attack patient is suspected asthma attack, the label corresponding to the sample data of the obese group is suspected obesity, and the like.
Step S22: and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
It should be noted that the initial user state prediction model may be a large neural network model, the model is trained through sign sample data, a loss value is determined according to a loss function, and parameters in the initial user state model are adjusted until the model is stable and converged to obtain a preset user state prediction model.
In this embodiment, an initial user state prediction model is trained according to the physical sign sample data to obtain a user state prediction model to be adjusted; acquiring personal information of a user; determining an adjustment parameter according to the user personal information and a preset standard template; and adjusting the user state prediction model to be adjusted according to the adjustment parameters to obtain a preset user state prediction model.
It should be noted that the preset standard template is personal information data of a crowd corresponding to the physical sign sample data, for example: the preset standard template is a male aged 18-80 years old or a female in a non-pregnant period, and the physical signs of the male are normal and have no medical history. And determining the difference between the personal information of the current user to be monitored and the preset standard template through the preset standard template to obtain an adjustment parameter. The adjustment parameters are a link of adjusting input parameters in front of the input neural network model, and the adjustment parameters are added or subtracted with one or more values of the user sign information and then input into the neural network model to obtain the final user state type information.
The embodiment obtains the physical sign sample data, wherein the physical sign sample data comprises at least one of a blood pressure sample, a blood sugar sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample and a heart rate sample; and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model. By means of the method, model training of the physical sign data of the existing common people through big data is achieved, and accuracy of user health state prediction is improved.
In addition, an embodiment of the present invention further provides a storage medium, where a program for remotely monitoring the health status in real time and giving a regulation and control guidance is stored, and when the program for remotely monitoring the health status in real time and giving the regulation and control guidance is executed by a processor, the steps of the method for remotely monitoring the health status in real time and giving the regulation and control guidance are implemented as described above.
Referring to fig. 3, fig. 3 is a block diagram illustrating a first embodiment of the apparatus for remotely monitoring the health status of a person in real time and giving a regulation guidance according to the present invention.
As shown in fig. 3, the apparatus for remotely monitoring the health status of a person in real time and giving a regulation guidance according to an embodiment of the present invention includes:
And the communication module 10 is configured to receive user sign information detected by the intelligent terminal.
And the processing module 20 is configured to input the user sign information into a preset user state prediction model, and determine user state type information.
The processing module 20 is further configured to determine user state early warning information according to the user state type information when a preset state type exists in the user state type information.
The communication module 10 is further configured to send the user state early warning information to a monitoring terminal, so that the monitoring terminal prompts the user state according to the state early warning information.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited in this respect.
The communication module 10 of this embodiment receives user sign information detected by an intelligent terminal; the processing module 20 inputs the user sign information into a preset user state prediction model, and determines user state type information; when a preset state type exists in the user state type information, the processing module 20 determines user state early warning information according to the user state type information; the communication module 10 sends the user state early warning information to the monitoring terminal, so that the monitoring terminal prompts the user state according to the state early warning information. By the mode, dynamic collection of various physiological indexes is achieved and uploaded to a cloud analysis platform, an optimal health guidance regulation and control scheme is provided according to personalized health state analysis of the old or the patient, and a guardian can conveniently, quickly and real-timely master health dynamics of the user only in an APP or a WeChat of the guardian. Health risk factors are found in advance, the reaction speed of abnormal vital signs is improved, and when the abnormal vital signs are different from normal people, the abnormal vital signs are found in advance, so that more serious consequences are avoided.
In this embodiment, the processing module 20 is further configured to obtain sign sample data, where the sign sample data includes at least one of a blood pressure sample, a blood glucose sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample, and a heart rate sample;
and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
In this embodiment, the processing module 20 is further configured to train an initial user state prediction model according to the sign sample data to obtain a user state prediction model to be adjusted;
acquiring personal information of a user;
determining an adjustment parameter according to the user personal information and a preset standard template;
and adjusting the user state prediction model to be adjusted according to the adjustment parameters to obtain a preset user state prediction model.
In this embodiment, the processing module 20 is further configured to determine a user status type and a status index corresponding to the user status type according to the user status type information;
determining early warning content according to the user state type;
determining an early warning mode according to the state index;
and determining user state early warning information according to the early warning content and the early warning mode.
In this embodiment, the communication module 10 is further configured to establish a network connection with a mobile terminal and configure a notification manner;
when the state index meets a preset condition, determining the state grade of the state index;
and when the state grade reaches a target grade, sending the user state early warning information to a monitoring terminal through a network and the notification mode.
In this embodiment, the communication module 10 is further configured to generate emergency early warning information when the user state early warning information is not received within a preset time after being sent to the monitoring terminal;
and sending the emergency early warning information to a preset monitoring center to finish the early warning of the emergency.
In this embodiment, the processing module 20 is further configured to obtain authority application information fed back by the monitoring terminal;
and opening corresponding function permission according to the permission application information so that the monitoring terminal acquires function information according to the function permission.
It should be noted that the above-mentioned work flows are only illustrative and do not limit the scope of the present invention, and in practical applications, those skilled in the art may select some or all of them according to actual needs to implement the purpose of the solution of the present embodiment, and the present invention is not limited herein.
In addition, the technical details not described in detail in this embodiment can be referred to a method for remotely monitoring the health status of the body in real time and giving a regulation guidance provided in any embodiment of the present invention, and are not described herein again.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or system in which the element is included.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention or a part contributing to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. A method for remotely monitoring the health state of a body in real time and giving regulation and control guidance is characterized by comprising the following steps:
receiving user sign information detected by an intelligent terminal;
inputting the user sign information into a preset user state prediction model, and determining user state type information;
when a preset state type exists in the user state type information, determining user state early warning information according to the user state type information;
and sending the user state early warning information to a monitoring terminal so that the monitoring terminal prompts the user state according to the state early warning information.
2. The method of claim 1, wherein before inputting the user sign information into a preset user state prediction model and determining user state type information, the method further comprises:
Acquiring sign sample data, wherein the sign sample data comprises at least one of a blood pressure sample, a blood sugar sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample and a heart rate sample;
and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
3. The method of claim 2, wherein the training of the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model comprises:
training an initial user state prediction model according to the sign sample data to obtain a user state prediction model to be adjusted;
acquiring personal information of a user;
determining an adjustment parameter according to the user personal information and a preset standard template;
and adjusting the user state prediction model to be adjusted according to the adjustment parameters to obtain a preset user state prediction model.
4. The method of claim 1, wherein determining user status alert information based on the user status type information comprises:
determining a user state type and a state index corresponding to the user state type according to the user state type information;
Determining early warning content according to the user state type;
determining an early warning mode according to the state index;
and determining user state early warning information according to the early warning content and the early warning mode.
5. The method of claim 4, wherein before sending the user state warning information to the monitoring terminal, the method further comprises:
establishing network connection with the mobile terminal and configuring a notification mode;
the sending of the user state early warning information to a monitoring terminal comprises:
when the state index meets a preset condition, determining the state grade of the state index;
and when the state grade reaches a target grade, sending the user state early warning information to a monitoring terminal through a network and the notification mode.
6. The method of claim 1, wherein after sending the user status warning information to a monitoring terminal, the method further comprises:
generating emergency early warning information when the user state early warning information is not received within a preset time after being sent to the monitoring terminal;
and sending the emergency early warning information to a preset monitoring center to finish the early warning of the emergency.
7. The method as claimed in any one of claims 1 to 6, wherein after the sending the user state warning information to a monitoring terminal, further comprising:
acquiring authority application information fed back by a monitoring terminal;
and opening corresponding function permission according to the permission application information so that the monitoring terminal acquires function information according to the function permission.
8. An apparatus for remotely monitoring a health status of a body in real time and giving a regulation guidance, the apparatus for remotely monitoring a health status of a body in real time and giving a regulation guidance comprising:
the communication module is used for receiving the user sign information detected by the intelligent terminal;
the processing module is used for inputting the user sign information into a preset user state prediction model and determining user state type information;
the processing module is further used for determining user state early warning information according to the user state type information when a preset state type exists in the user state type information;
the communication module is further used for sending the user state early warning information to a monitoring terminal so that the monitoring terminal can prompt the user state according to the state early warning information.
9. The apparatus of claim 8, wherein the processing module is further configured to obtain sign sample data, the sign sample data including at least one of a blood pressure sample, a blood glucose sample, a respiratory rate sample, a body temperature sample, a blood oxygen sample, and a heart rate sample;
and training the initial user state prediction model according to the sign sample data to obtain a preset user state prediction model.
10. The apparatus of claim 9, wherein the processing module is further configured to train an initial user state prediction model according to the sign sample data to obtain a user state prediction model to be adjusted;
acquiring personal information of a user;
determining an adjustment parameter according to the user personal information and a preset standard template;
and adjusting the user state prediction model to be adjusted according to the adjustment parameters to obtain a preset user state prediction model.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117238466A (en) * | 2023-10-27 | 2023-12-15 | 上海市浦东新区上钢社区卫生服务中心 | Nursing intelligent information management system for realizing multistage linkage resource interaction |
| CN117637103A (en) * | 2023-10-19 | 2024-03-01 | 郑州大学 | Recommendation system for household sports health rehabilitation scheme for weak old people |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106412085A (en) * | 2016-10-29 | 2017-02-15 | 深圳市前海安测信息技术有限公司 | Health risk early-warning system and method based on Internet of things |
| CN106777954A (en) * | 2016-12-09 | 2017-05-31 | 电子科技大学 | The intelligent guarding system and method for a kind of Empty nest elderly health |
| CN107506602A (en) * | 2017-09-07 | 2017-12-22 | 北京海融兴通信息安全技术有限公司 | A kind of big data health forecast system |
| WO2021174777A1 (en) * | 2020-07-30 | 2021-09-10 | 平安科技（深圳）有限公司 | Elderly person health detection system and method, computer device, and readable storage medium |
-
2022
- 2022-03-14 CN CN202210246191.4A patent/CN114758767A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106412085A (en) * | 2016-10-29 | 2017-02-15 | 深圳市前海安测信息技术有限公司 | Health risk early-warning system and method based on Internet of things |
| CN106777954A (en) * | 2016-12-09 | 2017-05-31 | 电子科技大学 | The intelligent guarding system and method for a kind of Empty nest elderly health |
| CN107506602A (en) * | 2017-09-07 | 2017-12-22 | 北京海融兴通信息安全技术有限公司 | A kind of big data health forecast system |
| WO2021174777A1 (en) * | 2020-07-30 | 2021-09-10 | 平安科技（深圳）有限公司 | Elderly person health detection system and method, computer device, and readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 柳青峰: "《智能护理与健康养老》", 30 September 2019, 湖北科学技术出版社 * |
| 饶朝龙等: "健康服务业信息化管理案例集", 上海科学技术出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117637103A (en) * | 2023-10-19 | 2024-03-01 | 郑州大学 | Recommendation system for household sports health rehabilitation scheme for weak old people |
| CN117637103B (en) * | 2023-10-19 | 2024-07-09 | 郑州大学 | Recommendation system for household sports health rehabilitation scheme for weak old people |
| CN117238466A (en) * | 2023-10-27 | 2023-12-15 | 上海市浦东新区上钢社区卫生服务中心 | Nursing intelligent information management system for realizing multistage linkage resource interaction |
| CN117238466B (en) * | 2023-10-27 | 2024-03-01 | 上海市浦东新区上钢社区卫生服务中心 | Nursing intelligent information management system for realizing multistage linkage resource interaction |
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